Accession Number:

AD1096587

Title:

Learning Nonlinear Decision Making

Descriptive Note:

Technical Report,15 Sep 2015,14 Sep 2019

Corporate Author:

Trustees of Dartmouth College Hanover United States

Personal Author(s):

Report Date:

2019-09-09

Pagination or Media Count:

9.0

Abstract:

To advance the science of decision-making as it pertains to how people learn to make decisions and how this process can be captured computationally, we specifically addressed the challenge of how nonlinear decisions can be learned from data, experience, and even interactions with other decision-makers. Our goal was to research and develop a rigorous and comprehensive computation and cognitive framework to understanding and capturing how non-linear decision making occurs and how we can learn them.

Subject Categories:

  • Administration and Management
  • Psychology

Distribution Statement:

APPROVED FOR PUBLIC RELEASE